Accelerating high parameter flow cytometry: maximizing time for analysis with rapid data acquisition 4847

Abstract Description The advent of spectral data unmixing has significantly enhanced the capability for high parameter multicolor analysis in flow cytometry. However, this advancement has also led to increased acquisition and analysis times for high-dimensional data. To address these challenges, the Invitrogen Attune Xenith Flow Cytometer has been developed, incorporating proven acoustic focusing core technology to deliver efficient, rapid, and accurate full-spectrum data acquisition. In this study, we utilized a 37-color mouse panel to perform comprehensive immunophenotyping of tissue digests. Our results demonstrate that the Attune Xenith Flow Cytometer can acquire data at reduced instrument run times without excessive sample dilution, even with clog-prone samples. At acquisition rates of 500 µL/minute, data resolution was maintained, and we identified distinct subpopulations, including rare subsets, from spleen, bone marrow, and lymph node. The high sample throughput capability of the Attune Xenith Flow Cytometer significantly reduces time to results while maintaining uncompromised spectral resolution, even with highly complex panels. This efficiency facilitates the identification of rare cell subsets in mouse tissues and enhances overall laboratory productivity. Here, we illustrate the capability of the Attune Xenith Flow Cytometer to resolve complex high parameter data accurately and rapidly, thereby minimizing instrument run time and optimizing workflow efficiency. Topic Categories Technological Innovations in Immunology (TECH)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2461
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Accelerating high parameter flow cytometry: maximizing time for analysis with rapid data acquisition 4847

Kate Alford, Tatyane Bonora Silva da Costa, Heaven Roberts, Brandon James Trent
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Accelerating high parameter flow cytometry: maximizing time for analysis with rapid data acquisition 4847

Kate Alford, Tatyane Bonora Silva da Costa, Heaven Roberts, Brandon James Trent
article en

Abstract

Abstract Description The advent of spectral data unmixing has significantly enhanced the capability for high parameter multicolor analysis in flow cytometry. However, this advancement has also led to increased acquisition and analysis times for high-dimensional data. To address these challenges, the Invitrogen Attune Xenith Flow Cytometer has been developed, incorporating proven acoustic focusing core technology to deliver efficient, rapid, and accurate full-spectrum data acquisition. In this study, we utilized a 37-color mouse panel to perform comprehensive immunophenotyping of tissue digests. Our results demonstrate that the Attune Xenith Flow Cytometer can acquire data at reduced instrument run times without excessive sample dilution, even with clog-prone samples. At acquisition rates of 500 µL/minute, data resolution was maintained, and we identified distinct subpopulations, including rare subsets, from spleen, bone marrow, and lymph node. The high sample throughput capability of the Attune Xenith Flow Cytometer significantly reduces time to results while maintaining uncompromised spectral resolution, even with highly complex panels. This efficiency facilitates the identification of rare cell subsets in mouse tissues and enhances overall laboratory productivity. Here, we illustrate the capability of the Attune Xenith Flow Cytometer to resolve complex high parameter data accurately and rapidly, thereby minimizing instrument run time and optimizing workflow efficiency. Topic Categories Technological Innovations in Immunology (TECH)

The Journal of ImmunologyVol. 214(Supplement_1)
Thermo Fisher Scientific (United States) (US)
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
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Accelerating high parameter flow cytometry: maximizing time for analysis with rapid data acquisition 4847 — Kate Alford, Tatyane Bonora Silva da Costa, et al. · The Journal of Immunology (2025) | TGRS Research Map | TGRS